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Urgent! Staff ML Engineer - AI Safety & Evaluation Job Opening In San Jose – Now Hiring A10 Networks
Staff ML Engineer - AI Safety & Evaluation
We’re building a future where AI systems are not only powerful but safe, aligned, and robust against misuse.
Our team focuses on advancing practical safety techniques for large language models (LLMs) and multimodal systems—ensuring these models remain aligned with human intent and resist attempts to produce harmful, toxic, or policy-violating content.
We operate at the intersection of model development and real-world deployment, with a mission to build systems that can proactively detect and prevent jailbreaks, toxic behaviors, and other forms of misuse.
Our work blends applied research, systems engineering, and evaluation design to ensure safety is built into our models at every layer.
Position Overview
As a Staff ML Engineer on the AI Safety & Evaluation team, you will contribute to the development, deployment, and monitoring of model-level safety components in production environments.
This includes building APIs and infrastructure to integrate safety checks, running evaluations under adversarial scenarios, and deploying models and safety modules in scalable and production-ready environments.
You’ll work closely with ML engineers, infrastructure teams, and product safety leads to ensure that our models are not only performant—but robust, auditable, and secure in real-world use cases.
What You’ll Do
Nice to Have
A10 Networks is an equal opportunity employer and a VEVRAA federal subcontractor.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
A10 also complies with all applicable state and local laws governing nondiscrimination in employment.
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Compensation: up to $190K USD
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Unlock Your Staff ML Potential: Insight & Career Growth Guide
Real-time Staff ML Jobs Trends in San Jose, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Staff ML in San Jose, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 31450 jobs in United States and 1485 jobs in San Jose. This comprehensive analysis highlights market share and opportunities for professionals in Staff ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! A10 Networks is currently hiring and seeking a Staff ML Engineer AI Safety & Evaluation to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at A10 Networks adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Staff ML Engineer AI Safety & Evaluation Jobs United States varies, but the pay scale is rated "Standard" in San Jose. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Staff ML Engineer AI Safety & Evaluation typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Staff ML Engineer AI Safety & Evaluation interview at A10 Networks, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the A10 Networks's products or services and be prepared to discuss how you can contribute to their success.
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